A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…From the results, it produces two metrics, TKN and coliform, that are higher than WHO guidelines while maintaining the optimal level of DO throughout the duration of the study. …”
Get full text

Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. The newly developed algorithm demonstrates enhanced accuracy in EDR estimation. …”
Get full text

AML-DECODER: Advanced Machine Learning for HD-sEMG Signal Classification—Decoding Lateral Epicondylitis in Forearm Muscles by Mehdi Shirzadi, Mónica Rojas Martínez, Joan Francesc Alonso, Leidy Yanet Serna, Joaquim Chaler, Miguel Angel Mañanas, Hamid Reza Marateb

“…Background: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. …”
Get full text

Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…It is found that the traditional ILC algorithm starts to diverge at about 10 s after applying the control, while the MNN−ILC algorithm still maintains a good and stable control performance. …”
Get full text

A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS):... by Yuen Zhong, Yu Bao, Hong Cheng, Chaoqun Liu, Shengzhu Huang, Hualong Qiu, Honglin Huang, Jiajun Ren, Hailiu Jin, Caitong He, Long Tian, Yu Zhang, Bangzhu Luo, Tao Liang, Mujun Li, Zengnan Mo, Longman Li, Xiaobo Yang

“…Moreover, the protective effect of Rb increased while that of Fe decreased as pregnancy progressed; simultaneously, the risk effect of Cu diminished. …”
Get full text

Guidelines for radioiodine therapy in differentiated thyroid cancer and post-therapeutic follow-up by A. Yu. Shurinov, E. V. Borodavina, V. V. Krylov, M. A. Sigov, A. A. Rodichev, S. A. Ivanov, A. D. Kaprin

Get full text

A study on life assessment of metro cowcatcher based on multi-axis vibration environment reconstruction by ZHENG Yuhao, WU Xingwen, LIU Yang, CHI Maoru, LIANG Shulin

“…Then, the modal damping ratio was optimized by the genetic algorithm, improving the consistency between the simulation and measured response results, and proving the correctness of the modeling method. …”
Get full text

Fleet Size and Mix Vehicle Routing Problem (FSMVRP), Adapted Large Neighbourhood Search Heuristic Optimization ProposalWith a Plant-capacity and Multi-day Planning Algorithm: A Liv... by Alperen Ekrem Çelikdin

“…As a requirement of the enterprise strategy, a multi-day planning algorithm was developed to level the daily production capacity of the factory while maintaining minimum transportation costs and maximum service level. …”
Get full text

Enhanced securities investment strategy using ISSA–SVM: a hybrid model combining adaptive moving average, support vector machine, and multi-strategy sparrow search algorithm for im... by Wei Ni, Qingqing Chen, Xiaochen Guo, Yanan Liu

“…The strategy incorporates three key innovations: (1) an AMA algorithm that dynamically adjusts smoothing coefficients to market conditions, improving response speed and accuracy across different market environments. (2) SVM classification for trend prediction, leveraging its robust nonlinear classification capabilities. (3) a Multi-Strategy Sparrow Search Algorithm that optimizes multiple parameters and strategy combinations while avoiding local optima. …”
Get full text

Identification of genes associated with resistance trait to VPAHPND in Pacific white shrimp (Litopenaeus vannamei) using Bulk Segregation Analysis (BSA) by Zhenning Bao, Yang Yu, Pengfei Lin, Fuhua Li

Get full text

FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making by Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta

Get full text

Software Project Scheduling Problem: A Review by Javad Pashaei Barbin, Mahdi Jalali

“…Therefore, adopting an algorithm for software project scheduling that optimizes project completion time while considering cost and resource constraints is essential. …”
Get full text

Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

Get full text

Application of K-means supported by clustered systems in big data association rule mining by Lihua Liu

“…The findings indicated that the enhanced k-means++ clustering method achieved a Davies-Bouldin index of 0.642 for performance validation, while its Calinski-Harabasz score reached 5186. The improved k-means++ clustering technique showed advantageous clustering results, while the data partitioning method based on frequent item set parallel mining shown a notable performance advantage. …”
Get full text

Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning by Jingjing Liu, Lei Xu, Le Ma, Nengcheng Chen

Get full text

Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…The exploratory data analysis was essential to understand the statistical behavior and interrelationships among the petrophysical logs, serving as a foundational step for the effective application of the clustering algorithms. Despite the diverse mathematical foundations of the clustering algorithms, the three electrofacies were reliably correlated with lithofacies. …”
Get full text

The ethics of data mining in healthcare: challenges, frameworks, and future directions by Mohamed Mustaf Ahmed, Olalekan John Okesanya, Majd Oweidat, Zhinya Kawa Othman, Shuaibu Saidu Musa, Don Eliseo Lucero-Prisno III

“…Therefore, transparency must span three levels–dataset documentation, model interpretability, and post-deployment audit logging–to make algorithmic reasoning and failures traceable. Security vulnerabilities in the Internet of Medical Things (IoMT) and cloud-based health platforms amplify these risks, while corporate data-sharing deals complicate questions of data ownership and patient autonomy. …”
Get full text

Toward Convenient and Accurate IMU-Based Gait Analysis by Mohamed Boutaayamou, Doriane Pelzer, Cédric Schwartz, Sophie Gillain, Gaëtan Garraux, Jean-Louis Croisier, Jacques G. Verly, Olivier Brüls

Get full text

Digital transformation, social ranking, and the future of statehood in the time of the “Great Reset” by Roman Rouvinsky

Get full text

Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…This study extends the optimization problem to a multi-objective framework that incorporates the minimization of CO₂ emissions under a real annual energy mix while also accounting for user discomfort. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is utilized for this purpose, providing a Pareto-optimal set of solutions that balances these competing objectives. …”
Get full text